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crater_id
int64
0
7.45k
longitude_deg
float64
-178.8
180
latitude_deg
float64
-88.83
88.9
diameter_km
float64
40
1.54k
degradation_class
int64
0
6
degradation_label
stringclasses
6 values
size_class
stringclasses
4 values
0
102.69
58.8748
210.59
2
fresh (well-defined rim, partial ejecta)
large
1
110.286
51.254
121.97
1
freshest (sharp rim, prominent ejecta)
large
2
108.058
55.3416
110.67
1
freshest (sharp rim, prominent ejecta)
large
3
118.114
65.7594
108.47
2
fresh (well-defined rim, partial ejecta)
large
4
145.223
60.2569
121.85
4
degraded (heavily subdued rim)
large
5
154.701
67.2992
100.67
2
fresh (well-defined rim, partial ejecta)
large
6
166.821
65.3156
252.86
2
fresh (well-defined rim, partial ejecta)
large
7
118.487
56.5169
123.66
1
freshest (sharp rim, prominent ejecta)
large
8
-97.982
54.5793
125.47
2
fresh (well-defined rim, partial ejecta)
large
9
-112.111
63.5527
138.98
1
freshest (sharp rim, prominent ejecta)
large
10
-90.6255
50.9936
183.33
3
moderately degraded (subdued rim, no ejecta)
large
11
-81.1067
64.5
143.85
1
freshest (sharp rim, prominent ejecta)
large
12
-77.9029
60.6897
148.78
2
fresh (well-defined rim, partial ejecta)
large
13
-78.9576
52.1167
128.34
4
degraded (heavily subdued rim)
large
14
-69.2842
51.5516
134.01
2
fresh (well-defined rim, partial ejecta)
large
15
-46.0348
50.6919
111.74
3
moderately degraded (subdued rim, no ejecta)
large
16
-48.5623
63.7164
151.27
1
freshest (sharp rim, prominent ejecta)
large
17
-39.0994
55.5152
161.94
2
fresh (well-defined rim, partial ejecta)
large
18
-10.4532
61.8253
118.1
4
degraded (heavily subdued rim)
large
19
-41.4293
60.8157
171.78
2
fresh (well-defined rim, partial ejecta)
large
20
-52.3985
58.3182
111.77
2
fresh (well-defined rim, partial ejecta)
large
21
123.273
48.8787
125.21
6
null
large
22
101.839
70.2522
295.42
1
freshest (sharp rim, prominent ejecta)
large
23
-136.472
53.244
187.31
4
degraded (heavily subdued rim)
large
24
-128.416
58.2457
124.84
4
degraded (heavily subdued rim)
large
25
-169.674
64.3637
133
4
degraded (heavily subdued rim)
large
26
-152.321
48.9019
357.31
1
freshest (sharp rim, prominent ejecta)
giant
27
-147.661
66.6009
104.65
1
freshest (sharp rim, prominent ejecta)
large
28
-136.163
65.4181
124.44
2
fresh (well-defined rim, partial ejecta)
large
29
82.754
52.4961
191.17
4
degraded (heavily subdued rim)
large
30
-152.329
79.7845
132.75
2
fresh (well-defined rim, partial ejecta)
large
31
-123.975
73.5353
94.03
1
freshest (sharp rim, prominent ejecta)
medium
32
-166.627
75.7288
101.2
1
freshest (sharp rim, prominent ejecta)
large
33
94.2199
62.2323
247.6
1
freshest (sharp rim, prominent ejecta)
large
34
57.416
53.2962
136.49
1
freshest (sharp rim, prominent ejecta)
large
35
56.8893
50.0929
150.72
1
freshest (sharp rim, prominent ejecta)
large
36
-71.8691
56.9415
141.26
2
fresh (well-defined rim, partial ejecta)
large
37
119.047
69.466
118.9
1
freshest (sharp rim, prominent ejecta)
large
38
-164.044
61.7531
113.86
1
freshest (sharp rim, prominent ejecta)
large
39
-169.541
48.0875
168.35
1
freshest (sharp rim, prominent ejecta)
large
40
60.7973
66.5514
159.04
6
null
large
41
70.6906
53.5398
129.66
6
null
large
42
-109.481
70.6021
159.34
1
freshest (sharp rim, prominent ejecta)
large
43
-118.459
66.7848
155.97
1
freshest (sharp rim, prominent ejecta)
large
44
36.5289
60.3285
100.23
6
null
large
45
-121.741
53.5437
129.02
1
freshest (sharp rim, prominent ejecta)
large
46
-17.1093
69.6586
164.72
6
null
large
47
-75.1414
76.2026
252.59
6
null
large
48
13.8766
67.1812
220.44
6
null
large
49
153.582
79.4958
187.76
2
fresh (well-defined rim, partial ejecta)
large
50
165.484
81.5289
142.73
2
fresh (well-defined rim, partial ejecta)
large
51
63.9267
85.7056
105.35
4
degraded (heavily subdued rim)
large
52
23.6535
63.9466
191.42
6
null
large
53
48.2113
59.3655
100.72
6
null
large
54
41.233
48.6783
151.33
6
null
large
55
-72.2749
64.5611
152.99
6
null
large
56
28.0523
74.2106
203.67
6
null
large
57
59.0035
57.6577
162
6
null
large
58
27.568
52.3246
251.61
6
null
large
59
156.042
55.8588
191.19
6
null
large
60
43.2752
45.2179
766.32
6
null
giant
61
-44.456
50.1328
223.19
2
fresh (well-defined rim, partial ejecta)
large
62
8.4285
58.2701
230.41
6
null
large
63
141.92
74.6111
136.43
1
freshest (sharp rim, prominent ejecta)
large
64
56.0124
60.6703
254.76
6
null
large
65
-43.623
59.9275
208.16
1
freshest (sharp rim, prominent ejecta)
large
66
-80.9998
70.9436
782.04
1
freshest (sharp rim, prominent ejecta)
giant
67
-84.5748
49.711
309.81
1
freshest (sharp rim, prominent ejecta)
giant
68
-54.2801
81.4714
319.11
6
null
giant
69
-10.6205
55.7334
369.55
6
null
giant
70
20.9932
50.3721
111.25
1
freshest (sharp rim, prominent ejecta)
large
71
-107.705
56.6219
329.47
2
fresh (well-defined rim, partial ejecta)
giant
72
-28.3356
52.4124
583.29
1
freshest (sharp rim, prominent ejecta)
giant
73
-51.78
83.9153
153.05
2
fresh (well-defined rim, partial ejecta)
large
74
-69.2611
56.2307
89.76
1
freshest (sharp rim, prominent ejecta)
medium
75
13.129
-57.0825
167.93
2
fresh (well-defined rim, partial ejecta)
large
76
111.625
-62.1013
111.77
2
fresh (well-defined rim, partial ejecta)
large
77
125.735
-52.7036
108.48
4
degraded (heavily subdued rim)
large
78
121.53
-72.7679
153.76
4
degraded (heavily subdued rim)
large
79
135.053
-48.9034
104.44
1
freshest (sharp rim, prominent ejecta)
large
80
148.101
-58.9317
143.88
2
fresh (well-defined rim, partial ejecta)
large
81
164.471
-48.4882
105.15
2
fresh (well-defined rim, partial ejecta)
large
82
165.707
-58.5012
155.12
3
moderately degraded (subdued rim, no ejecta)
large
83
-115.297
-51.2312
127.31
4
degraded (heavily subdued rim)
large
84
-85.2112
-48.813
162.31
1
freshest (sharp rim, prominent ejecta)
large
85
-77.3959
-60.1907
181.09
2
fresh (well-defined rim, partial ejecta)
large
86
-66.2147
-55.5524
110.25
2
fresh (well-defined rim, partial ejecta)
large
87
-70.0387
-48.3475
184.45
2
fresh (well-defined rim, partial ejecta)
large
88
-61.9623
-60.5177
152.72
3
moderately degraded (subdued rim, no ejecta)
large
89
-51.6401
-59.1446
110.26
4
degraded (heavily subdued rim)
large
90
-46.1478
-53.6754
137.61
2
fresh (well-defined rim, partial ejecta)
large
91
-41.2465
-50.9833
132.12
2
fresh (well-defined rim, partial ejecta)
large
92
-18.1104
-48.7424
151.43
3
moderately degraded (subdued rim, no ejecta)
large
93
-28.5379
-63.367
214.09
1
freshest (sharp rim, prominent ejecta)
large
94
-54.6772
-68.6183
108.55
1
freshest (sharp rim, prominent ejecta)
large
95
-114.92
-54.9211
90.88
2
fresh (well-defined rim, partial ejecta)
medium
96
-92.9358
-53.4502
104.29
1
freshest (sharp rim, prominent ejecta)
large
97
-88.4877
-64.5856
120.56
2
fresh (well-defined rim, partial ejecta)
large
98
83.9173
-52.058
110.32
1
freshest (sharp rim, prominent ejecta)
large
99
-103.436
-69.8333
203.43
2
fresh (well-defined rim, partial ejecta)
large
End of preview. Expand in Data Studio

Mercury Crater Degradation (Kinczyk et al. 2020)

The Moon seen from Apollo 8, showing craters and surface detail

Credit: NASA/Apollo 8

Part of the Planetary Science Datasets collection on Hugging Face.

A global catalog of 3,253 Mercury impact craters (diameter >= 40 km) classified by morphological degradation state using MESSENGER imagery. Each crater is assigned a degradation class from 1 (freshest) to 5 (highly degraded), providing a relative chronology of Mercury's surface.

Dataset description

Crater degradation is the primary tool for determining the relative ages of planetary surfaces where radiometric dating is unavailable. On Mercury, impact craters undergo progressive modification through subsequent impacts, seismic shaking, volcanic infilling, and regolith gardening. Fresh craters display sharp rims, prominent ejecta blankets, and well-defined interior structures, while highly degraded craters are barely distinguishable from the surrounding terrain.

Kinczyk et al. (2020) developed a 5-point degradation classification scheme calibrated across Mercury's entire surface using MESSENGER's global imaging coverage. The classification correlates with established stratigraphic systems (e.g., the Kuiperian, Mansurian, and Calorian periods) and provides constraints on the cratering flux history of the innermost planet.

This dataset complements the Mercury Crater Database (Herrick et al. 2011), which provides morphological classification of all 16,876 craters. Together, they enable studies of crater shape evolution as a function of degradation state.

Degradation classes

Class Description Count
0 unclassified 3
1 freshest (sharp rim, prominent ejecta) 1,048
2 fresh (well-defined rim, partial ejecta) 1,300
3 moderately degraded (subdued rim, no ejecta) 521
4 degraded (heavily subdued rim) 219
5 highly degraded (barely distinguishable rim) 22
6 unknown 140

Schema

Column Type Description
crater_id int64 Unique crater identifier (FID)
longitude_deg float64 Crater center longitude (degrees East)
latitude_deg float64 Crater center latitude (degrees North)
diameter_km float64 Crater rim-to-rim diameter (km)
degradation_class int64 Degradation state (1=freshest to 5=highly degraded)
degradation_label string Human-readable degradation description
size_class string Derived: small (<50 km), medium (50-100), large (100-300), giant (>300)

Quick stats

  • 3,253 craters with degradation classification
  • Diameter range: 40 -- 1539 km (median 61 km)
  • All craters D >= 40 km on Mercury's surface

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/mercury-crater-degradation", split="train")
df = ds.to_pandas()

# Degradation class distribution
import matplotlib.pyplot as plt
df["degradation_class"].value_counts().sort_index().plot(kind="bar")
plt.xlabel("Degradation Class")
plt.ylabel("Count")
plt.title("Mercury Crater Degradation Distribution")
plt.show()

# Size vs degradation
df.boxplot(column="diameter_km", by="degradation_class")
plt.ylabel("Diameter (km)")
plt.title("Crater Size by Degradation Class")
plt.show()

# Map colored by degradation
plt.scatter(df["longitude_deg"], df["latitude_deg"],
            c=df["degradation_class"], cmap="RdYlGn_r",
            s=df["diameter_km"] / 20, alpha=0.6)
plt.colorbar(label="Degradation Class")
plt.xlabel("Longitude (°E)")
plt.ylabel("Latitude (°N)")
plt.title("Mercury Craters by Degradation State")
plt.show()

Data source

Kinczyk, M.J., Prockter, L.M., Byrne, P.K., Susorney, H.C.M., and Chapman, C.R. (2020), A morphological evaluation of crater degradation on Mercury: Revisiting crater classification. Icarus, 341, 113637. doi:10.1016/j.icarus.2020.113637

Data: Mendeley Data, CC-BY-4.0.

Related datasets

Pipeline

Source code: juliensimon/space-datasets

Support

If you find this dataset useful, please give it a ❤️ on the dataset page and share feedback in the Community tab! Also consider giving a ⭐ to the space-datasets repo.

Citation

@dataset{mercury_crater_degradation,
  author = {Simon, Julien},
  title = {Mercury Crater Degradation (Kinczyk et al. 2020)},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/mercury-crater-degradation},
  note = {Based on Kinczyk et al. (2020) via Mendeley Data}
}

License

CC-BY-4.0

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